Research on Annotating and Matching for Semantic Entities Based on Ambient Semantic Interoperable Service

For the interoperation among enterprises in eBusiness, there are many information inconsistencies such as polysem and synonymy which blocks the ambient semantic collaboration. Ontology is an important tool to overcome serious syntax and semantic misunderstanding. In this paper, the relations among entities were described by OWL, and then these relations could be defined as a kind of linking-entity added in ontology. Based on the comprehensive description of linking, a similarity rating arithmetic was defined according to the architecture of WordNet. Finally matching and filtering of semantic entities was realized in customization of user to find the entities correlative with userpsilas requirements and to filter the entities having inconsistencies and conflicts information.